Ice model calibration using semicontinuous spatial data
Author:
Affiliation:
1. Division of Statistics and Data Science, University of Cincinnati
2. Department of Mathematical Sciences, Durham University
3. Department of Statistics, University of Nebraska
4. Department of Statistics, Pennsylvania State University
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability
Reference43 articles.
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3. CAO, F., BA, S., BRENNEMAN, W. A. and JOSEPH, V. R. (2018). Model calibration with censored data. Technometrics 60 255–262.
4. Berger, J. O., De Oliveira, V. and Sansó, B. (2001). Objective Bayesian analysis of spatially correlated data. J. Amer. Statist. Assoc. 96 1361–1374.
5. Gu, M., Wang, X. and Berger, J. O. (2018). Robust Gaussian stochastic process emulation. Ann. Statist. 46 3038–3066.
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